1. 2020
  2. ESMRMB Round Table report on “Can Europe Lead in Machine Learning of MRI-Data?”

    Pizzini, F. B., Pesapane, F., Niessen, W., Geerts-Ossevoort, L. & Broeckx, N., 2020, In : Magnetic Resonance Materials in Physics, Biology and Medicine. 33, p. 217-219 3 p.

    Research output: Contribution to journalEditorialScientific

  3. Fast multi-component analysis using a joint sparsity constraint for MR fingerprinting

    Nagtegaal, M., Koken, P., Amthor, T. & Doneva, M., 2020, In : Magnetic Resonance in Medicine. 83, 2, p. 521-534 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Localization microscopy at doubled precision with patterned illumination

    Cnossen, J., Hinsdale, T., Thorsen, R., Siemons, M., Schueder, F., Jungmann, R., Smith, C. S., Rieger, B. & Stallinga, S., 2020, In : Nature Methods. 17, 1, p. 59-63

    Research output: Contribution to journalArticleScientificpeer-review

  5. Magnetic resonance fingerprinting for simultaneous renal T1 and T2* mapping in a single breath-hold

    Hermann, I., Chacon-Caldera, J., Brumer, I., Rieger, B., Weingärtner, S., Schad, L. R. & Zöllner, F. G., 2020, In : Magnetic Resonance in Medicine. 83, 6, p. 1940-1948 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Spatial versus angular resolution for tractography-assisted planning of deep brain stimulation

    Liebrand, L. C., van Wingen, G. A., Vos, F. M., Denys, D. & Caan, M. W. A., 2020, In : NeuroImage: Clinical. 25, 102116.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Three dimensional particle averaging for structural imaging of macromolecular complexes by localization microscopy

    Heydarian, H., Przybylski, A., Schreuder, F., Jungmann, R., Van Werkhoven, B., Keller-Findeisen, J., Ries, J., Stallinga, S., Bates, M. & Rieger, B., 2020, In : bioRxiv.

    Research output: Contribution to journalArticleScientific

  8. 2019
  9. Gray Matter Age Prediction as a Biomarker for Risk of Dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218

    Research output: Contribution to journalArticleScientificpeer-review

  10. Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease

    Gollifer, R. M., Menys, A., Plumb, A., Mengoudi, K., Puylaert, C. A. J., Tielbeek, J. A. W., Ponsioen, C. Y., Vos, F. M., Stoker, J., Taylor, S. A. & Atkinson, D., 1 Oct 2019, In : Clinical Radiology. 74, 10, p. 814.e9-814.e19

    Research output: Contribution to journalArticleScientificpeer-review

  11. Sensor for microscopy

    Hulsken, B. & Stallinga, S., 16 Jul 2019, Patent No. US10353190B2

    Research output: Patent

  12. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI

    Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Niessen, W., Vernooij, M., de Bruijne, M. & de Bruijne, M., 2019, In : Medical Image Analysis. 51, p. 89-100

    Research output: Contribution to journalArticleScientificpeer-review

  13. A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes

    Li, B., Niessen, W., Klein, S., de Groot, M., Arfan Ikram, M., Vernooij, M. & Bron, E. E., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 645-653 (Lecture Notes in Computer Science ; vol. 11766).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  14. A Multichannel Cross-Modal Fusion Framework for Electron Tomography

    Guo, Y., Aveyard, R. & Rieger, B., 2019, In : IEEE Transactions on Image Processing. 28, 9, p. 4206-4218 8673880.

    Research output: Contribution to journalArticleScientificpeer-review

  15. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes

    van der Lee, S. J., Knol, M. J., Chauhan, G., Satizabal, C. L., Smith, A. V., Hofer, E., Bis, J. C., van den Akker, E. B., Niessen, W. J. & More Authors, 2019, In : Communications Biology. 2, 1, p. 1-9 9 p., 285.

    Research output: Contribution to journalArticleScientificpeer-review

  16. A pharmacokinetic model including arrival time for two inputs and compensating for varying applied flip-angle in dynamic gadoxetic acid-enhanced MR imaging

    Zhang, T., Runge, J. H., Lavini, C., Stoker, J., van Gulik, T., Cieslak, K. P., van Vliet, L. J. & Vos, F. M., 2019, In : PLoS ONE. 14, 8, 20 p., e0220835.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Autofocus imaging

    Hulsken, B. & Stallinga, S., 2019, Patent No. US10365468B2

    Research output: Patent

  18. Autofocus imaging

    Hulsken, B. & Stallinga, S., 2019, Patent No. US10371929B2

    Research output: Patent

  19. Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

    van Wijnen, K. M. H., Dubost, F., Yilmaz, P., Ikram, M. A., Niessen, W., Adams, H., Vernooij, M. W. & de Bruijne, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D. (ed.). Springer, p. 234-242 (Lecture Notes in Computer Science; vol. 11767).

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

  20. Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites

    Dubost, F., Dünnwald, M., Huff, D., Scheurmann, V., Schreiber, F., Vernooij, M. W., Niessen, W., Skalej, M., Schreiber, S. & More Authors, 2019, Proceedings of 2nd International Workshop on Context-Aware Surgical Theaters,OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, MLCN 2019. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer, p. 103-111 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11796 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  21. Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks

    Vigueras-Guillén, J. P., Lemij, H. G., Van Rooij, J., Vermeer, K. A. & Van Vliet, L. J., 2019, Proceeedings of SPIE : Medical Imaging 2019 : Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, Vol. 10949. 12 p. 1094931. (MEDICAL IMAGING 2019: IMAGE PROCESSING).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  22. Clinical value of cerebrospinal fluid neurofilament light chain in semantic dementia

    Meeter, L. H. H., Steketee, R. M. E., Salkovic, D., Vos, M. E., Grossman, M., McMillan, C. T., Niessen, W. J., Papma, J. M., De Jong, F. J. & More Authors, 2019, In : Journal of Neurology, Neurosurgery and Psychiatry. 90, 9, p. 997-1004 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Cognitive functioning in patients with disorders along the heart-brain axis: the role of cerebral blood flow

    Leeuwis, A. E., Hooghiemstra, A. M., Bron, E. E., Kuipers, S., Oudeman, E. A., Kalay, T., Brunner-La-Rocco, H-P. H. P., Kappelle, L. J., Niessen, W. & More Authors, 2019, p. 755.

    Research output: Contribution to conferenceAbstractScientific

  24. Comparison between dynamic gadoxetate-enhanced MRI and 99m Tc-mebrofenin hepatobiliary scintigraphy with SPECT for quantitative assessment of liver function

    Rassam, F., Zhang, T., Cieslak, K. P., Lavini, C., Stoker, J., Bennink, R. J., van Gulik, T. M., van Vliet, L. J., Runge, J. H. & Vos, F. M., 2019, In : European Radiology. 29, 9, p. 5063-5072

    Research output: Contribution to journalArticleScientificpeer-review

  25. Comparison of MRI activity scoring systems and features for the terminal ileum in patients with Crohn disease

    Puylaert, C. A. J., Nolthenius, C. J. T., Tielbeek, J. A. W., Makanyanga, J. C., Rodriguez-Justo, M., Brosens, L. A. A., Nio, C. Y., Pendsé, D. A. & Vos, F. M., 2019, In : American Journal of Roentgenology. 212, 2, p. W25-W31

    Research output: Contribution to journalArticleScientificpeer-review

  26. Computer-Aided Assessment of Longitudinal Fundus Photos for Screening Diabetic Retinopathy

    Adal, K., 2019, 111 p.

    Research output: ThesisDissertation (TU Delft)

  27. Confocal Multi-line Scanning Microscope for Efficient 3D Fluorescence Imaging

    van der Graaff, L. & Stallinga, S., 2019, Proceedings Applied Industrial Optics : Spectroscopy, Imaging and Metrology 2019. OSA Publishing, 2 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  28. Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy images

    Vigueras Guillén, J. P., van Rooij, J. G. J., Lemij, H. G., Vermeer, K. & van Vliet, L., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Penzel, T. (ed.). Piscataway, NJ, USA: IEEE, p. 876-881

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  29. Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification

    Bouts, M. J. R. J., van der Grond, J., Vernooij, M. W., Koini, M., Schouten, T. M., de Vos, F., Feis, R. A., Lechner, A., Niessen, W. J. & More Authors, 2019, In : Human Brain Mapping. 40, 9, p. 2711-2722 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  30. Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling

    Venkatraghavan, V., Bron, E. E., Niessen, W. J. & Klein, S., 2019, In : NeuroImage. 186, p. 518-532

    Research output: Contribution to journalArticleScientificpeer-review

  31. Enlarged perivascular spaces in brain MRI: Automated quantification in four regions

    Dubost, F., Yilmaz, P., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, M., 2019, In : NeuroImage. 185, p. 534-544

    Research output: Contribution to journalArticleScientificpeer-review

  32. Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

    Venkatraghavan, V., Dubost, F., Bron, E. E., Niessen, W. J., de Bruijne, M. & Klein, S., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Chung, A. C. S., Gee, J. C., Yushkevich, P. A. & Bao, S. (eds.). Springer, Vol. 11492. p. 169-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  33. Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings

    Adams, H. H. H., Roshchupkin, G. V., DeCarli, C., Franke, B., Grabe, H. J., Habes, M., Jahanshad, N., Medland, S. E., Niessen, W. & More Authors, 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 286-290 5 p.

    Research output: Contribution to journalArticleScientificpeer-review

  34. Fully convolutional architecture vs sliding-window CNN for corneal endothelium cell segmentation

    Vigueras Guillén, J. P., Sari, B., Goes, S., Lemij, H. G., van Rooij, J., Vermeer, K. & van Vliet, L., 2019, In : BMC Biomedical Engineering. 1, 4

    Research output: Contribution to journalArticleScientificpeer-review

  35. Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium

    Niessen, W., 2019, (Accepted/In press) In : bioRxiv.

    Research output: Contribution to journalArticleScientific

  36. Genetic architecture of subcortical brain structures in 38,851 individuals

    Satizabal, C. L., Adams, H. H. H., Arfan Ikram, M. & Niessen, W., 2019, In : Nature Genetics. 51, 11, p. 1624-1636

    Research output: Contribution to journalArticleScientificpeer-review

  37. Genetic variation underlying cognition and its relation with neurological outcomes and brain imaging

    Knol, M. J., Heshmatollah, A., Cremers, L. G. M., Ikram, M. K., Uitterlinden, A. G., van Duijn, C. M., Niessen, W. J., Vernooij, M. W., Ikram, M. A. & Adams, H. H. H., 2019, In : Aging. 11, 5, p. 1440-1456

    Research output: Contribution to journalArticleScientificpeer-review

  38. Groupwise multichannel image registration

    Guyader, J. M., Huizinga, W., Fortunati, V., Poot, D. H. J., Veenland, J. F., Paulides, M. M., Niessen, W. J. & Klein, S., 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 3, p. 1171-1180 8373696.

    Research output: Contribution to journalArticleScientificpeer-review

  39. High-Dimensional Mapping of Cognition to the Brain Using Voxel-Based Morphometry and Subcortical Shape Analysis

    Zonneveld, H. I., Roshchupkin, G. V., Adams, H. H. H., Gutman, B. A., Van Der Lugt, A., Niessen, W., Vernooij, M. W. & Ikram, M. A., 2019, In : Journal of Alzheimer's Disease. 71, 1, p. 141-152

    Research output: Contribution to journalArticleScientificpeer-review

  40. Hydranet: Data augmentation for regression neural networks

    Dubost, F., Bortsova, G., Adams, H., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 438-446 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  41. Image analysis methods for dynamic hepatocyte-specific contrast enhanced MRI

    Zhang, T., 2019, 125 p.

    Research output: ThesisDissertation (TU Delft)

  42. Implementation of a quantum private query using single-photon transistors

    Nagtegaal, M. A. & Blaauboer, M., 2019, In : Journal of Physics B: Atomic, Molecular and Optical Physics. 52, 4, 6 p., 045501.

    Research output: Contribution to journalArticleScientificpeer-review

  43. Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics

    Vilor-Tejedor, N., Ikram, M. A., Roshchupkin, G. V., Cáceres, A., Alemany, S., Vernooij, M. W., Niessen, W. J., van Duijn, C. M., Adams, H. H. & More Authors, 2019, In : NeuroInformatics. 17, 4, p. 583-592 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  44. Integrated photonics interferometric interrogator for a ring-resonator ultrasound sensor

    Ouyang, B., Haverdings, M., Horsten, R., Kruidhof, M., Kat, P. & Caro, J., 2019, In : Optics Express. 27, 16, p. 23408-23421

    Research output: Contribution to journalArticleScientificpeer-review

  45. Label-free volumetric quantitative imaging of human osteosarcoma cells by hyperspectral coherent anti-Stokes Raman scattering

    Karuna, A., Masia, F., Wiltshire, M., Errington, R., Borri, P. & Langbein, W., 2019, Proceedings of SPIE: Multiphoton Microscopy in the Biomedical Sciences XIX. Periasamy, A., So, P. T. C. & Konig, K. (eds.). SPIE, Vol. 10882. 11 p. 108821P. (MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XIX).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  46. Large scale high sensitivity optical diffraction tomography of zebrafish

    van Rooij, J. & Kalkman, J., 2019, Proceedings of SPIE: Advances in Microscopic Imaging II. Beaurepaire, E. & Pavone, F. S. (eds.). SPIE, Vol. 11076. 4 p. 110760U

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  47. Large-scale high-sensitivity optical diffraction tomography of Zebrafish

    Van Rooij, J. & Kalkman, J., 2019, In : Biomedical Optics Express. 10, 4, p. 1782-1793 #357859.

    Research output: Contribution to journalArticleScientificpeer-review

  48. Method and apparatus for optical coherence projection tomography

    Kalkman, J. & van der Horst, J., 2019, IPC No. A61B, Priority date 22 Feb 2018, Priority No. NL 2020483

    Research output: Patent

  49. Multi-line fluorescence scanning microscope for multi-focal imaging with unlimited field of view

    van der Graaff, L., van Leenders, G. J. L. H., Boyaval, F. & Stallinga, S., 2019, In : Biomedical Optics Express. 10, 12, p. 6313-6339

    Research output: Contribution to journalArticleScientificpeer-review

  50. Multiple-correlation similarity for block-matching based fast CT to ultrasound registration in liver interventions

    Banerjee, J., Sun, Y., Klink, C., Gahrmann, R., Niessen, W. J., Moelker, A. & van Walsum, T., 2019, In : Medical Image Analysis. 53, p. 132-141

    Research output: Contribution to journalArticleScientificpeer-review

  51. Mutation stratification of desmoid-type fibromatosis using a radiogenomics approach

    Timbergen, M., Starmans, M. P. A., Vos, M., Padmos, G. A., Grünhagen, D. J., van Leenders, G. J. L. H., Verhoef, C., Niessen, W., Sleijfer, S. & More Authors, 2019, In : European Journal of Surgical Oncology. 44, 2, p. e16

    Research output: Contribution to journalMeeting AbstractScientific

  52. Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia

    Vinke, E. J., Huizinga, W., Bergtholdt, M., Adams, H. H., Steketee, R. M. E., Papma, J. M., De Jong, F. J., Niessen, W. J., Ikram, M. A. & More Authors, 2019, In : Neurobiology of Aging. 84, p. 9-16

    Research output: Contribution to journalArticleScientificpeer-review

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